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In the recent  4 to 5 years, I spent most of my awake hours researching the financial markets of crypto assets. Starting with crawling order book data and calculating liquidity measures as a student assistant at Humboldt-University Berlin, I graduated with a thesis on volatility predictions for Bitcoin using neural network-based machine learning. Soon I affiliated with Weizenbaum Institute, a think tank on digitalization issues, and started my doctoral studies at the Technical University of Berlin. I work on topics at the intersection of computer science and financial economics: stablecoin design approaches and arbitrage, monetary characteristics of speculative cryptocurrencies, and modeling trader behavior.  

I love collaborating with people of different backgrounds - especially computer scientists. Building up projects is maybe my most favorite occupation of all.


I also freelance from time to time (data analysis with Python and R, data mining, data visualization, economic consultancy). Don't hesitate to talk to me if you have an interesting problem at hand.



Mail: [at]

Phone: Ha! *Still* not that easy! ;-)

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